Name
Title | ||
|---|---|---|
Distributed models for sparse attack construction and state vector estimation in the smart grid |
Abstract | ||
|---|---|---|
Two distributed attack models and two distributed state vector estimation methods are introduced to handle the sparsity of smart grid networks in order to employ unobservable false data injection attacks and estimate state vectors. First, Distributed Sparse Attacks in which attackers process local measurements in order to achieve consensus for an attack vector are introduced. In the second attack model, called Collective Sparse Attacks, it is assumed that the topological information of the network and the measurements is available to attackers. However, attackers employ attacks to the groups of state vectors. The first distributed state vector estimation method, called Distributed State Vector Estimation, assumes that observed measurements are distributed in groups or clusters in the network. The second method, called Collaborative Sparse State Vector Estimation, consists of different operators estimating subsets of state variables. Therefore, state variables are assumed to be distributed in groups and accessed by the network operators locally. The network operators compute their local estimates and send the estimated values to a centralized network operator in order to update the estimated values. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/SmartGridComm.2012.6486001 | Smart Grid Communications |
Keywords | Field | DocType |
power system security,power system state estimation,smart power grids,attacker process local measurements,centralized network operator,collaborative sparse state vector estimation method,collective sparse attacks,distributed sparse attack models,distributed state vector estimation methods,false data injection attacks,network topological information,second attack model,smart grid networks,sparse attack construction,state variable estimation,Smart grid security,attack detection,distributed optimization,false data injection,sparse models | Attack model,Injection attacks,State vector,Smart grid,Topological information,Computer science,Theoretical computer science,Operator (computer programming),State variable,Unobservable | Conference |
ISSN | ISBN | Citations |
2373-6836 | 978-1-4673-0909-7 | 8 |
PageRank | References | Authors |
0.57 | 5 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mete Ozay | 1 | 106 | 14.50 |
| Inaki Esnaola | 2 | 87 | 10.43 |
| Fatos T. Yarman-Vural | 3 | 287 | 27.11 |
| S. R. Kulkarni | 4 | 2105 | 360.73 |
| H. V. Poor | 5 | 25411 | 1951.66 |
| Yarman Vural, F.T. | 6 | 73 | 6.17 |